[R-sig-ME] Removing random intercepts before random slopes
M@@rten@Jung @ending from m@ilbox@tu-dre@den@de
Wed Aug 29 11:21:33 CEST 2018
Does it make sense to remove random intercepts before one removes
random slopes (regarding the same grouping factor)?
Barr et al. (2013, ) suggest that a model "missing within-unit
random intercepts is preferable to one missing the critical random
slopes" (p. 276).
However, I wonder whether this procedure does make sense from a
conceptual perspective and whether it is reconcilable with the
principal of marginality?
And, is there any difference between LMMs with categorical and LMMs
with continuous predictors regarding this?
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